Singapore, SG, 98633
Open 3 months, first seen by us 108 days agoResearch, develop and maintain quantitative models for valuation, portfolio optimization and risk
Partner with traders to evaluate and implement trading and hedging strategies
Run statistical analysis, forecasting, scenario analysis and back-testing of trading strategies
Build and maintain analytical tools, dashboards and quantitative infrastructure
Develop and validate valuation models for assets and structured transactions
Research, develop, and maintain quantitative models for valuation, portfolio optimization, and risk management across gas and power markets.
Partner closely with traders to identify, evaluate, and implement trading and hedging strategies that capture market opportunities and optimize portfolio performance.
Conduct statistical analysis, forecasting, scenario analysis, and back-testing to evaluate trading strategies and improve predictive performance.
Build and maintain analytical tools, dashboards, and quantitative infrastructure that improve trading efficiency, market understanding, and decision support.
Develop, validate, and maintain valuation models used to assess assets, structured transactions, trading opportunities, and complex commercial exposures.
Master's or PhD degree in Finance, Economics, Statistics, Computer Science, Mathematics, Engineering, Physics, Operations Research, or a related quantitative discipline.
5+ years of experience in energy trading, commodity trading, investment banking, hedge funds, asset management, or related quantitative trading environments.
Experience developing quantitative models supporting trading strategy development, portfolio optimization, valuation, and risk management.
Strong understanding of gas and power markets, market fundamentals, trading strategies, and risk management concepts.
Knowledge of derivatives pricing, option theory, stochastic processes, statistical modeling, and quantitative finance methodologies.
Experience with econometric techniques, time-series analysis, forecasting, and machine learning applications within trading environments.
Experience supporting gas and power trading desks in a front-office quantitative analytics capacity.
Knowledge of regional and global gas, LNG, and power markets, including market fundamentals, pricing mechanisms, and trading dynamics.
Experience developing algorithmic, systematic, or discretionary trading strategies within commodity or financial markets.
Experience applying machine learning, artificial intelligence, or advanced data science techniques to market forecasting and trading strategy development.
What you bring - Master's or PhD degree in Finance, Economics, Statistics, Computer Science, Mathematics, Engineering, Physics, Operations Research, or a related quantitative discipline. - 5+ years of experience in energy trading, commodity trading, investment banking, hedge funds, asset management, or related quantitative trading environments.
Preferred Qualifications - PhD degree in a quantitative discipline. - Experience supporting gas and power trading desks in a front-office quantitative analytics capacity.
From the employer’s posting.
At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions.
In the employer’s words · Read in context
Open 3 monthsWe first saw this posting 108 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 108
Up longer than most. Similar jobs usually come down between day 7 and day 57.
At ExxonMobil, jobs usually come down by about day 55.
From 10,558 similar postings that came down, and 65 of ExxonMobil’s. Coming down is not always a hire.
22 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Experience with econometric techniques, time-series analysis, forecasting, and machine learning applications within trading environments. - Proficiency in Python and experience with quantitative analytics libraries such as Pandas, NumPy, SciPy, StatsModels, and Scikit-learn. - Experience working with large and complex datasets to identify market opportunities and generate actionable business insights.
Complete your application on jobs.exxonmobil.com. The employer’s form will show what is required.
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
About us
At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together.
If successful, you will be an integral part of our Global Trading Analytics organization, supporting Gas & Power trading activities across regional and global energy markets. We are seeking a highly motivated quantitative analyst with strong modeling, analytical, and trading strategy development capabilities to design and enhance quantitative models, analytical frameworks, and decision-support tools that enable trading, risk management, and commercial optimization.
In this role, you will work closely with traders, quantitative analysts, fundamental analysts, technologists, and risk professionals to identify, develop, evaluate, and implement trading and hedging strategies across gas, power, and related commodity markets. You will contribute to the development of scalable state-of-the-art quantitative solutions that support market analysis, asset optimization, portfolio management, and commercial decision-making in a fast-paced trading environment.
Preferred Qualifications
An ExxonMobil career is one designed to last and we provide job rotations throughout your career with us. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life. Currently our employees' benefits include long term savings allowance, dental reimbursement, annual health checkups and home ownership assistance plan amongst others and these are updated from time to time.
Alternate Location:
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
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Singapore, SG, 98633
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